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Linyong Pang

Researcher at Synopsys

Publications -  28
Citations -  591

Linyong Pang is an academic researcher from Synopsys. The author has contributed to research in topics: Optical proximity correction & Process window. The author has an hindex of 10, co-authored 27 publications receiving 575 citations.

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Patent

System and method of providing mask defect printability analysis

TL;DR: In this article, a simulated wafer image of a physical mask and a defect-free reference image are used to generate a severity score for each defect, thereby giving a customer meaningful information to accurately assess the consequences of using a mask or repairing that mask.
Patent

User interface for a networked-based mask defect printability analysis system

TL;DR: In this paper, the authors propose a user interface for a mask simulation tool over a wide area network (WAN) to encourage problem-solving dialogue among users, where the user interface can include an enter box for a user to enter a message and a talk box for capturing any message sent by any user of the simulation tool using the enter box.
Patent

Method and apparatus for a network-based mask defect printability analysis system

TL;DR: In this paper, a network-based mask defect printability simulation server provides simulations, one-dimensional analysis, and reports to multiple clients over a wide area network, such as the Internet.
Patent

System and method of providing mask quality control

TL;DR: In this paper, a simulated wafer image of a physical mask and a defect-free reference image are used to generate a severity score for each defect, thereby giving a customer meaningful information to accurately assess the consequences of using a mask or repairing that mask.
Proceedings ArticleDOI

Enhanced dispositioning of reticle defects using the Virtual Stepper with automated defect severity scoring

TL;DR: In this paper, the authors used the Virtual Stepper System with its newly developed automated defect severity scoring (ADSS) function to predict the printability of binary OPC masks.